用于预测急性住院病人出血情况的静脉血栓栓塞症出血风险评分的外部验证和更新:日本的一项回顾性单中心队列研究

IF 2.6 4区 医学 Q2 HEMATOLOGY Thrombosis Journal Pub Date : 2024-03-28 DOI:10.1186/s12959-024-00603-w
Daichi Arakaki, Mitsunaga Iwata, Teruhiko Terasawa
{"title":"用于预测急性住院病人出血情况的静脉血栓栓塞症出血风险评分的外部验证和更新:日本的一项回顾性单中心队列研究","authors":"Daichi Arakaki, Mitsunaga Iwata, Teruhiko Terasawa","doi":"10.1186/s12959-024-00603-w","DOIUrl":null,"url":null,"abstract":"The International Medical Prevention Registry for Venous Thromboembolism (IMPROVE) Bleeding Risk Score is the recommended risk assessment model (RAM) for predicting bleeding risk in acutely ill medical inpatients in Western countries. However, few studies have assessed its predictive performance in local Asian settings. We retrospectively identified acutely ill adolescents and adults (aged ≥ 15 years) who were admitted to our general internal medicine department between July 5, 2016 and July 5, 2021, and extracted data from their electronic medical records. The outcome of interest was the cumulative incidence of major and nonmajor but clinically relevant bleeding 14 days after admission. For the two-risk-group model, we estimated sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively). For the 11-risk-group model, we estimated C statistic, expected and observed event ratio (E/O), calibration-in-the-large (CITL), and calibration slope. In addition, we recalibrated the intercept using local data to update the RAM. Among the 3,876 included patients, 998 (26%) were aged ≥ 85 years, while 656 (17%) were hospitalized in the intensive care unit. The median length of hospital stay was 14 days. Clinically relevant bleeding occurred in 58 patients (1.5%), 49 (1.3%) of whom experienced major bleeding. Sensitivity, specificity, NPV, and PPV were 26.1% (95% confidence interval [CI]: 15.8–40.0%), 84.8% (83.6–85.9%), 98.7% (98.2–99.0%), and 2.5% (1.5–4.3%) for any bleeding and 30.9% (95% CI: 18.8–46.3%), 84.9% (83.7–86.0%), 99.0% (98.5–99.3%), and 2.5% (1.5–4.3%) for major bleeding, respectively. The C statistic, E/O, CITL, and calibration slope were 0.64 (95% CI: 0.58–0.71), 1.69 (1.45–2.05), − 0.55 (− 0.81 to − 0.29), and 0.58 (0.29–0.87) for any bleeding and 0.67 (95% CI: 0.60–0.74), 0.76 (0.61–0.87), 0.29 (0.00–0.58), and 0.42 (0.19–0.64) for major bleeding, respectively. Updating the model substantially corrected the poor calibration observed. In our Japanese cohort, the IMPROVE bleeding RAM retained the reported moderate discriminative performance. Model recalibration substantially improved the poor calibration obtained using the original RAM. Before its introduction into clinical practice, the updated RAM needs further validation studies and an optimized threshold.","PeriodicalId":22982,"journal":{"name":"Thrombosis Journal","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"External validation and update of the International Medical Prevention Registry on Venous Thromboembolism bleeding risk score for predicting bleeding in acutely ill hospitalized medical patients: a retrospective single-center cohort study in Japan\",\"authors\":\"Daichi Arakaki, Mitsunaga Iwata, Teruhiko Terasawa\",\"doi\":\"10.1186/s12959-024-00603-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The International Medical Prevention Registry for Venous Thromboembolism (IMPROVE) Bleeding Risk Score is the recommended risk assessment model (RAM) for predicting bleeding risk in acutely ill medical inpatients in Western countries. However, few studies have assessed its predictive performance in local Asian settings. We retrospectively identified acutely ill adolescents and adults (aged ≥ 15 years) who were admitted to our general internal medicine department between July 5, 2016 and July 5, 2021, and extracted data from their electronic medical records. The outcome of interest was the cumulative incidence of major and nonmajor but clinically relevant bleeding 14 days after admission. For the two-risk-group model, we estimated sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively). For the 11-risk-group model, we estimated C statistic, expected and observed event ratio (E/O), calibration-in-the-large (CITL), and calibration slope. In addition, we recalibrated the intercept using local data to update the RAM. Among the 3,876 included patients, 998 (26%) were aged ≥ 85 years, while 656 (17%) were hospitalized in the intensive care unit. The median length of hospital stay was 14 days. Clinically relevant bleeding occurred in 58 patients (1.5%), 49 (1.3%) of whom experienced major bleeding. Sensitivity, specificity, NPV, and PPV were 26.1% (95% confidence interval [CI]: 15.8–40.0%), 84.8% (83.6–85.9%), 98.7% (98.2–99.0%), and 2.5% (1.5–4.3%) for any bleeding and 30.9% (95% CI: 18.8–46.3%), 84.9% (83.7–86.0%), 99.0% (98.5–99.3%), and 2.5% (1.5–4.3%) for major bleeding, respectively. The C statistic, E/O, CITL, and calibration slope were 0.64 (95% CI: 0.58–0.71), 1.69 (1.45–2.05), − 0.55 (− 0.81 to − 0.29), and 0.58 (0.29–0.87) for any bleeding and 0.67 (95% CI: 0.60–0.74), 0.76 (0.61–0.87), 0.29 (0.00–0.58), and 0.42 (0.19–0.64) for major bleeding, respectively. Updating the model substantially corrected the poor calibration observed. In our Japanese cohort, the IMPROVE bleeding RAM retained the reported moderate discriminative performance. Model recalibration substantially improved the poor calibration obtained using the original RAM. Before its introduction into clinical practice, the updated RAM needs further validation studies and an optimized threshold.\",\"PeriodicalId\":22982,\"journal\":{\"name\":\"Thrombosis Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thrombosis Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12959-024-00603-w\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thrombosis Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12959-024-00603-w","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

静脉血栓栓塞症国际医疗预防登记(IMPROVE)出血风险评分是西方国家预测急性内科住院病人出血风险的推荐风险评估模型(RAM)。然而,很少有研究对其在亚洲本地环境中的预测性能进行评估。我们回顾性地识别了2016年7月5日至2021年7月5日期间在我院普通内科住院的急性病青少年和成人(年龄≥15岁),并从他们的电子病历中提取了数据。研究结果是入院 14 天后大出血和非大出血但临床相关出血的累积发生率。对于两组风险模型,我们估算了灵敏度、特异性以及阳性和阴性预测值(分别为 PPV 和 NPV)。对于 11 组风险模型,我们估算了 C 统计量、预期和观察到的事件比(E/O)、大样本校准(CITL)和校准斜率。此外,我们还利用本地数据重新校准了截距,以更新 RAM。在纳入的 3876 名患者中,998 人(26%)年龄≥ 85 岁,656 人(17%)在重症监护室住院。住院时间中位数为 14 天。58名患者(1.5%)发生了临床相关出血,其中49名(1.3%)发生了大出血。任何出血的敏感性、特异性、NPV 和 PPV 分别为 26.1%(95% 置信区间 [CI]:15.8-40.0%)、84.8%(83.6-85.9%)、98.7%(98.2-99.0%)和 2.5%(1.5-4.3%),大出血分别为 30.9%(95% CI:18.8-46.3%)、84.9%(83.7-86.0%)、99.0%(98.5-99.3%)和 2.5%(1.5-4.3%)。任何出血的 C 统计量、E/O、CITL 和校准斜率分别为 0.64(95% CI:0.58-0.71)、1.69(1.45-2.05)、- 0.55(- 0.81 至- 0.29)和 0.58(0.任何出血的死亡率分别为 0.67(95% CI:0.60-0.74)、0.76(0.61-0.87)、0.29(0.00-0.58)和 0.42(0.19-0.64)。更新模型大大纠正了所观察到的校准不良情况。在我们的日本队列中,IMPROVE出血RAM保持了报告中的中等鉴别性能。模型的重新校准大大改善了使用原始 RAM 所获得的较差校准。在引入临床实践之前,更新的 RAM 需要进一步的验证研究和优化阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
External validation and update of the International Medical Prevention Registry on Venous Thromboembolism bleeding risk score for predicting bleeding in acutely ill hospitalized medical patients: a retrospective single-center cohort study in Japan
The International Medical Prevention Registry for Venous Thromboembolism (IMPROVE) Bleeding Risk Score is the recommended risk assessment model (RAM) for predicting bleeding risk in acutely ill medical inpatients in Western countries. However, few studies have assessed its predictive performance in local Asian settings. We retrospectively identified acutely ill adolescents and adults (aged ≥ 15 years) who were admitted to our general internal medicine department between July 5, 2016 and July 5, 2021, and extracted data from their electronic medical records. The outcome of interest was the cumulative incidence of major and nonmajor but clinically relevant bleeding 14 days after admission. For the two-risk-group model, we estimated sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively). For the 11-risk-group model, we estimated C statistic, expected and observed event ratio (E/O), calibration-in-the-large (CITL), and calibration slope. In addition, we recalibrated the intercept using local data to update the RAM. Among the 3,876 included patients, 998 (26%) were aged ≥ 85 years, while 656 (17%) were hospitalized in the intensive care unit. The median length of hospital stay was 14 days. Clinically relevant bleeding occurred in 58 patients (1.5%), 49 (1.3%) of whom experienced major bleeding. Sensitivity, specificity, NPV, and PPV were 26.1% (95% confidence interval [CI]: 15.8–40.0%), 84.8% (83.6–85.9%), 98.7% (98.2–99.0%), and 2.5% (1.5–4.3%) for any bleeding and 30.9% (95% CI: 18.8–46.3%), 84.9% (83.7–86.0%), 99.0% (98.5–99.3%), and 2.5% (1.5–4.3%) for major bleeding, respectively. The C statistic, E/O, CITL, and calibration slope were 0.64 (95% CI: 0.58–0.71), 1.69 (1.45–2.05), − 0.55 (− 0.81 to − 0.29), and 0.58 (0.29–0.87) for any bleeding and 0.67 (95% CI: 0.60–0.74), 0.76 (0.61–0.87), 0.29 (0.00–0.58), and 0.42 (0.19–0.64) for major bleeding, respectively. Updating the model substantially corrected the poor calibration observed. In our Japanese cohort, the IMPROVE bleeding RAM retained the reported moderate discriminative performance. Model recalibration substantially improved the poor calibration obtained using the original RAM. Before its introduction into clinical practice, the updated RAM needs further validation studies and an optimized threshold.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Thrombosis Journal
Thrombosis Journal Medicine-Hematology
CiteScore
3.80
自引率
3.20%
发文量
69
审稿时长
16 weeks
期刊介绍: Thrombosis Journal is an open-access journal that publishes original articles on aspects of clinical and basic research, new methodology, case reports and reviews in the areas of thrombosis. Topics of particular interest include the diagnosis of arterial and venous thrombosis, new antithrombotic treatments, new developments in the understanding, diagnosis and treatments of atherosclerotic vessel disease, relations between haemostasis and vascular disease, hypertension, diabetes, immunology and obesity.
期刊最新文献
A single-center study of reference intervals for TAT, PIC, TM and t-PAIC in healthy older Chinese adults Values and preferences towards the use of prophylactic low-molecular-weight heparin during pregnancy: a convergent mixed-methods secondary analysis of data from the decision analysis in shared decision making for thromboprophylaxis during pregnancy (DASH-TOP) study. Circulating microRNAs targeting coagulation and fibrinolysis in patients with severe COVID-19. Causal relationship between varicose veins and mean corpuscular hemoglobin concentration based on Mendelian randomization study. Coagulation dysfunction events associated with echinocandins: a real-world study from FDA adverse event reporting system (FAERS) database.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1